Process streaming data in real time with scalable, software-defined devices built with the NVIDIA Clara™ for Medical Devices platform.
Quickly develop next-gen medical devices with software as a medical device (SaMD) at reduced cost and offload complexity to innovate competitively.
Use a full-stack platform to explore new AI-powered capabilities, accelerate time to market, lower development costs, and reduce the overhead of software maintenance costs.
Build high-performance, streaming AI applications and deploy software-defined medical devices with safety and speed.
Medical devices workflows are multifaceted and extend across patient care, healthcare provider efficiency, regulatory compliance, cost control, and data management. These workflows ensure that medical devices are used effectively and safely, resulting in improved patient outcomes and a more efficient healthcare system.
Medical image reconstruction from devices like CT, MRI, and ultrasound gives clinicians the ability to look deep inside the body in 3D to make a diagnosis. Doing this requires intense computational processing of large amounts of data from multiple sensors or 2D images. GPUs and accelerated computing allow the reconstruction to happen quickly, so patients can be treated faster.
Real-time clinical AI inference uses video and sensor data to equip doctors and surgeons with insights for immediate decision-making during procedures. Accelerated computing, located in the operating room, delivers reliable, low-latency, data-driven predictions that enhance medical professionals' ability to see the unseen. This technology improves situational awareness, enabling more informed decisions, and can lead to better patient outcomes.
Building next-generation AI applications for medical imaging requires a solution for data curation, ground truthing, training, validation, and deployment. Attention to both model performance and execution time is crucial to meet latency targets for efficient model development to achieve a faster time to market.
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